Can Bu
Orcid: 0000-0003-1042-2162
According to our database1,
Can Bu authored at least 14 papers
between 2023 and 2026.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2026
CEM-Net: a lightweight network for psychological stress detection using wrist PPG signal.
Int. J. Mach. Learn. Cybern., April, 2026
2025
Comput. Networks, 2025
MASM-Net: A Multi-scale Adaptive Mamba Network for Cuffless Blood Pressure Estimation Using Photoplethysmographic Signals.
Proceedings of the PRICAI 2025: Trends in Artificial Intelligence, 2025
High-Fidelity Character Animation: Generating Coherent and Controllable Motion Videos from Static Images.
Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025
2024
A Collaborative Compression Scheme for Fast Activity Recognition on Mobile Devices via Global Compression Ratio Decision.
IEEE Trans. Mob. Comput., April, 2024
Dynamic Inference via Localizing Semantic Intervals in Sensor Data for Budget-Tunable Activity Recognition.
IEEE Trans. Ind. Informatics, March, 2024
An automatic network structure search via channel pruning for accelerating human activity inference on mobile devices.
Expert Syst. Appl., March, 2024
Learn From Others and Be Yourself in Federated Human Activity Recognition via Attention-Based Pairwise Collaborations.
IEEE Trans. Instrum. Meas., 2024
Dynamic instance-aware layer-bit-select network on human activity recognition using wearable sensors.
Eng. Appl. Artif. Intell., 2024
Plug-and-play multi-dimensional attention module for accurate Human Activity Recognition.
Comput. Networks, 2024
2023
FreqSense: Adaptive Sampling Rates for Sensor-Based Human Activity Recognition Under Tunable Computational Budgets.
IEEE J. Biomed. Health Informatics, December, 2023
ProtoHAR: Prototype Guided Personalized Federated Learning for Human Activity Recognition.
IEEE J. Biomed. Health Informatics, August, 2023
Learning hierarchical time series data augmentation invariances via contrastive supervision for human activity recognition.
Knowl. Based Syst., 2023